Agents that do what you don't know how to.
You can ship anything. Selling it was never your job. The Sales agent works out who would buy what you built, writes to each of them, handles the replies and books the call, without being told how.
Every other AI asks you
what you want done.
That works when you already know the job. It fails completely when you don't, because you cannot brief an assistant on a discipline you've never practised. The blank box is the problem, not the solution.
You are the expert.
Powerful and general, which means the output is capped by your input. Your instructions, your judgement, your knowledge of a function you've never run.
The agent is the expert.
Ours arrive knowing the function. They have the playbook, the tools, the accounts and standing permission to act. You set direction. They handle the craft.
The hard part was never
the engineering.
You can ship a product, scale it and debug it at two in the morning. None of that taught you how to find the people who would pay for it.
What nobody taught you, and what the Sales agent does instead
- ✗Work out who actually buys this→ Sales agent, from your own product
- ✗Reach 100 of them a day without landing in spam→ Sales agent, on its own domains
- ✗Write the email that gets a reply→ Sales agent, rewritten weekly on results
- ✗Follow up four times without being annoying→ Sales agent, and it stops when told
Two questions. Then it goes.
Onboarding asks what you built and roughly who it's for. Everything after that is the agent's job.
It reads your product
Your site, your repo, your docs. It works out what you sell and who has the problem, then shows you real people and companies before writing a word.
It builds its own infrastructure
Buys sending domains in your company's name, sets them up, warms them for three weeks. Your real company email is never touched.
It writes and it sends
Researched, specific messages, not merge tags. On a schedule that keeps you out of spam, with follow-ups handled, stopping the instant someone opts out.
It learns and tells you
Reply rates move, it changes the approach and says what it changed and why. You get signups if your product closes itself, meetings on your calendar if it needs a conversation, and a sentence explaining the week.
One credit, one action.
Nothing hidden.
Every single thing the agent does (finding a person, checking an address, writing a message, sending it) costs one credit, and every one of them shows up in your activity log. Count them yourself.
The beta costs $9, and that $9 is a full Starter month. 2,000 credits, the complete Sales agent, for about a quarter of what Starter costs after launch. One payment, not a subscription and not a deposit: your account is credited the day we switch it on, and refunded in full if you change your mind before that.
The plan nearly everyone lands on. Your first month of it is what the $9 buys.
- ✓2,000 credits, around 400 people a month
- ✓It works while you sleep, on a schedule
- ✓Replies handled and calls booked for you
- ✓Extra credits $0.03 each. Never a surprise bill.
Multiple campaigns, bigger lists, a team around it.
- ✓8,000 credits, around 1,600 people a month
- ✓Everything in Starter
- ✓Priority on new agents as they launch
- ✓A person from our team on your Slack
Sending addresses are separate, and close to cost: $5 each, a month. One address sends about 25 emails a day. We buy the domains, set everything up and warm them for you. domains are passed through at what they cost us, around $12 a year, registered in your company's name and yours to keep. Nothing is charged for an address until it actually works. Selling you email addresses isn't how we make money.
Operater is in closed, invite-only beta. Access is a single $9 payment that becomes a full Starter month when your account opens. The prices above are what the plans cost at public launch. Anyone who comes through the beta and moves onto a paid plan keeps 50% off for twelve months, which makes Starter $19.50 rather than $39 for your first year.
Keep engineering.
Hire the rest.
Every function a startup needs, run by an agent that knows it. Sales is live today. The rest arrive on the same model: expert by default, acting without instruction, in the same workspace as you.
Sales
Finds who buys, reaches them, follows up, books the meeting, keeps the CRM honest.
Support
Answers the questions you keep answering, escalates what needs you, writes the docs afterwards.
Marketing
Positioning, content, launches, and the channels you've been meaning to try since March.
Customer Success
Onboards them, notices when they go quiet, saves the ones about to churn.
Finance & Ops
Runway, invoices, the spreadsheet you keep rebuilding, the numbers investors ask for.
Engineering
The only seat we're not trying to fill. Go build the thing you actually wanted to build.
Not open to the public yet.
$9 takes a seat.
Operater is in a closed beta. The $9 is not a queue fee. It buys a full Starter month, 2,000 credits, credited the day your account opens.
Fifty seats, one start date. One payment of $9, not a subscription, refundable in full any time before we switch your account on.
Cohort 1 opens 19 October
We open accounts in numbered cohorts, not a queue. Fifty seats, all starting the same day, which is how we can watch every agent run and fix what breaks before the next fifty arrive. When these are gone the next seat is in Cohort 2.
You're a skeptic.
Good.
+ Isn't this just a wrapper with a system prompt?
A wrapper answers you. This acts. The Sales agent buys and warms its own sending domains, holds credentials for your CRM and calendar, decides on Tuesday that Thursday's subject line needs changing, and does it without asking. The model is a component. The product is everything around it: the permissions, the tools, the memory of what it already tried, and the judgement about when to stop.
+ Am I going to end up spamming people?
The agent sends from addresses it owns and warms over three weeks precisely so it doesn't. It verifies every address before writing, keeps daily volume inside the limits that keep you out of spam folders, and every message carries a working one-click unsubscribe. Anyone who opts out is never contacted again by any agent on your account, permanently, and no one can reverse it.
+ What if it writes something embarrassing in my name?
You see every message before the first campaign goes out, and you can keep approval on permanently if you want it. Most people turn it off in week two. Either way, the agent shows you what it wrote, what changed since last week, and why, in plain language, not a diff.
+ I don't know if my reply rate is good. How would I tell?
That's exactly the gap this exists to close. Every number the agent shows you comes with what normal looks like next to it. 1 to 2 percent is typical for cold outreach, 4 percent is good. You should never have to go and research whether your own results are fine.
+ Do I lose control of my own go-to-market?
You set direction and you can stop anything in one click, at any point, without losing the work in progress. What you hand over is the execution: the hundred small craft decisions a week you'd otherwise be making badly, slowly, at midnight, in between shipping.
+ Why does a Sales agent need its own email domains?
Because sending a hundred cold emails a day from the domain your team runs on is how you lose the domain your team runs on. Separate names, bought in your company's name at what they cost us, kept warm and monitored by the agent. You keep them if you leave. It's a good example of the whole idea: a decision you didn't know you had to make, and shouldn't have to.
+ What happens when Support, Marketing and the rest arrive?
They land in the same workspace, with the same data and the same permissions model, and they talk to each other. The Support agent knows what Sales promised. The Marketing agent knows which messages got replies. That shared context is the reason this is an operating system rather than a folder full of separate tools.
+ What exactly does the $9 buy?
2,000 credits, and a place in the next batch. One credit is one thing an agent does: one person found, one address checked, one message written, one sent. So 2,000 is roughly 400 people found, written to and followed up. That is a full Starter month, which is $39 after launch. The credits land the day we switch your account on, not the day you pay, because credits you cannot spend are not credits.
+ What if I pay and it turns out not to be ready for me?
You get the $9 back. It is refundable in full at any point before we switch your account on, with no time limit and no explanation required. Email hello@operater.io and it goes back the same day. We would rather refund you than argue with you: a refund costs us a processing fee, and a chargeback costs us far more, so there is no version of this where being difficult pays.
+ How is an AI sales agent different from sales automation software?
Automation runs the steps you already decided on. You build the sequence, set the rules, and it executes them the same way every time; if a reply does not match a branch you wrote, nothing happens. An agent decides the steps. It reads your product, works out who the buyer is, writes to each one differently, and handles a reply it has never seen before without you adding a rule for it. The practical difference is who does the thinking: with automation the thinking is yours and the tool supplies the typing, which is the wrong way round when you have never done the job.
+ I have never done sales. Is this actually for me, or should I hire someone?
It is built for exactly that, and the honest answer has a boundary. If you have shipped something and cannot get anyone to look at it, the agent does the part you have never done and gives you the transcript of what it tried, so you learn the job while it runs. If you already have a salesperson and a working process, the gain is small, because the execution layer you would be replacing is already staffed. And if your product needs a long consultative sale into an enterprise, a human closes that, not this. Operater gets you to the conversation; it does not pretend to be the person having it.
Everything we had to learn
so you don't have to.
Plain-language guides to AI agents, outbound, deliverability and go-to-market, written for people who can build anything and have never sold anything.